1. A Sensor-Based Deep Learning Approach for Recognizing Daily and Work Activities in Open Environments for Sanitation Workers;2024 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON);2024-01-31
2. Improving Performance and Explainability of Sensor-Based Human Activity Recognition;2024 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON);2024-01-31
3. Hybrid Attention with CNN-BiLSTM and CBAM for Efficient Wearable Activity Recognition;2024 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON);2024-01-31
4. Convolutional Neural Network with CBAM Module for Fitness Activity Recognition Using Wearable IMU Sensors;2024 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON);2024-01-31
5. Human Activity Recognition in Logistics Using Wearable Sensors and Deep Residual Network;TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON);2023-10-31